Update README.md

README.md

@@ -1,10 +1,10 @@
 
 title: Satellite Classification Dashboardemoji: 🛰️colorFrom: bluecolorTo: purplesdk: gradiosdk_version: "5.0.2"app_file: app.pypinned: false
-🛰️ Satellite Classification Dashboard
+Satellite Classification Dashboard
 A Gradio-based application for classifying satellite images using pre-trained deep learning models. Upload a PNG, JPG, or JPEG image, select one or more models (Custom CNN, MobileNetV2, EfficientNetB0, DenseNet121), and view predictions with confidence scores and visualizations.
 Quick Start
 
-Try the Live Demo: Visit https://huggingface.co/spaces/your-username/Satellite-Classification-Gradio.
+Live Demo: Visit https://huggingface.co/spaces/your-username/Satellite-Classification-Gradio.
 Local Setup:git clone https://huggingface.co/spaces/your-username/Satellite-Classification-Gradio
 cd Satellite-Classification-Gradio
 python -m venv venv
@@ -12,7 +12,7 @@ source venv/bin/activate  # On Windows: venv\Scripts\activate
 pip install -r requirements.txt
 python app.py
 
-Open http://localhost:7860 in your browser.
+Open http://localhost:7860.
 
 Dependencies
 Listed in requirements.txt:
@@ -30,38 +30,41 @@ protobuf==3.20.3
 Troubleshooting
 Missing configuration in README
 
-Cause: The README.md lacks the required YAML front matter or has incorrect syntax.
+Cause: The README.md lacks proper YAML front matter or is not detected.
 Fix:
-Ensure this README.md is saved as README.md (case-sensitive) in the repository root.
-Verify YAML syntax (2-space indentation, quoted sdk_version).
+Save this README.md as README.md (case-sensitive) in the repository root.
+Ensure YAML syntax is correct (2-space indentation, quoted sdk_version).
 Push to repository:git add README.md
-git commit -m "Add YAML front matter to README.md"
+git commit -m "Fix YAML front matter in README.md"
 git push
 
 
 Restart the Space in the Settings tab.
+If the error persists, create a new Space to avoid caching issues.
 
 
 
 Error loading <model>: Unable to load model. Filepath is not an hdf5 file (or h5py is not available) or SavedModel
 
-Cause: The model file is not a valid HDF5 or SavedModel, or h5py is missing.
+Cause: The model file is invalid, or h5py is missing.
 Fix:
 Ensure requirements.txt includes h5py==3.10.0.
-Verify the model URL (e.g., https://huggingface.co/Bhavi23/Custom_CNN/resolve/main/best_multimodal_model.keras) is correct:curl -I https://huggingface.co/Bhavi23/Custom_CNN/resolve/main/best_multimodal_model.keras
+Verify the model URL (e.g., https://huggingface.co/Bhavi23/Custom_CNN/resolve/main/best_multimodal_model.keras):curl -I https://huggingface.co/Bhavi23/Custom_CNN/resolve/main/best_multimodal_model.keras
 
 
-Download and test the model locally:wget https://huggingface.co/Bhavi23/Custom_CNN/resolve/main/best_multimodal_model.keras
+Test the model file locally:wget https://huggingface.co/Bhavi23/Custom_CNN/resolve/main/best_multimodal_model.keras
 python -c "import tensorflow as tf; model = tf.keras.models.load_model('best_multimodal_model.keras')"
 
 
-If the file is invalid, check the Hugging Face repository for the correct file or contact the model owner.
-Alternatively, include model files in the repository:git add models/best_multimodal_model.keras
+If invalid, check the Hugging Face repository or contact the model owner.
+Alternatively, include model files in the repository:mkdir models
+mv best_multimodal_model.keras models/
+git add models/best_multimodal_model.keras
 git commit -m "Add Custom CNN model file"
 git push
 
 
-Use a Dockerfile for a consistent environment:FROM python:3.9-slim
+Use a Dockerfile for consistency:FROM python:3.9-slim
 WORKDIR /app
 COPY requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
@@ -70,7 +73,6 @@ EXPOSE 7860
 CMD ["python", "app.py"]
 
 
-Restart the Space after changes.
 
 
 
@@ -78,7 +80,7 @@ ModuleNotFoundError: No module named 'tensorflow'
 
 Cause: TensorFlow failed to install.
 Fix:
-Verify requirements.txt includes tensorflow-cpu==2.15.0 and protobuf==3.20.3.
+Verify requirements.txt includes tensorflow-cpu==2.15.0.
 Check build logs in the Space’s Settings tab.
 Test locally:python -m venv venv
 source venv/bin/activate
@@ -86,7 +88,6 @@ pip install -r requirements.txt
 python app.py
 
 
-Use the above Dockerfile if needed.